Covers all the basics and really easy to understand. Really well thought out curriculum.

Good course overall. Instructor explained the concepts really well.

Great professor. Easy to follow and exercises are good enough.

Great review of the essential linear algebra! Thank you!

Excellent. Beautifully designed and so well presented.

Loved it! Covered a lot in an efficient manner.

Please provide proper solns to all assignments

James Bird is an excellent teacher.

great course, highly recommnended

Excellent class for review!

thank you very much.

Great instructor!!!

Very helpful

Very useful

good

Helpful course to learn the fundamentals of linear algebra that pertain to data science, however has some errors in the lectures and quiz materials and skips some key points such as 1) how to check eigenvectors/eigenvalue combinations and 2) emphasizing how linear independence is used to simplify finding the characteristic polynomic to solving for the determinant = 0. Otherwise, a very good intro

Nice concise explanations, but I feel like there are way too few practice problems. I ended up having to search online for additional resources to practice the concepts

A good overview, but could have used a bit more information. I had to look up some concepts for myself in order to really understand it.

It's ok, not phenomenal

Loved the content. The quizzes had good questions but the answer fields were incorrect and forced me to resort to listing one or two variables, etc. just to pass.

quite a short course. goes slowly so good for beginners actually. quite a few errors in course and some topics dont flow properly. not the best.

I wish there was more practice for the topics and the discussion is not moderated so no one was able to get their questions answered.

The course started out great. The instructor was very good and he explains things very well. However, starting in Week 4 I was disappointed with the content. Two videos were dedicated to the manual calculation of determinents. But when teaching Eigenvalues, he showed us how to caculate them using the determinant, but does't cover the reason why the determinant was used. Also, he shows us the Matrix formula for least squares, but doesn't even try to explain why it works. The target audience being Data Scientists or potential Data Scientists would probably appreciate covering those questions. I get very little satisfaction from using and applying formulas that I don't understand.

Overall a good course, but misses out a lot of information, leaving the learner not fully understanding why certain concepts are relevant. Additionally, there are bugs in the quizzes, some of which have been highlighted in the forum years ago, but have not been amended.

It's very hard without a textbook. Some of the videos were insufficient to mastery of the subject. I did fine but others may struggle worse than me.